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Use of Multiparametric MRI in Prostate Cancer Treatments: A Prospective Study
The prospective study conducted by LMU Klinikum München investigates the effectiveness of vascular-targeted photodynamic therapy (VTP) and…
Early Detection of Treatment Response in Lung Cancer Using Delta-Radiomics Features
The study conducted by Heidelberg University Hospital investigates the use of diffusion-weighted MRI (DWI) to predict early treatment outcomes in…
Healthcare on FHIR: Igniting the Potential of Interoperability
Interoperability plays a crucial role in healthcare: it enables seamless communication of patient information across different systems, leads to…
Optimizing Glioblastoma Imaging: Enhancing MRI Efficiency and Quality with Deep Learning
This study investigates the use of deep learning (DL) to optimize MRI protocols for glioblastoma patients, aiming to reduce scan time and improve…
Insights into the BORN Project: Development and Successes with Dr. Maurice Heimer
The BORN-project of the Bavarian Center for Cancer Research (BZKF) is making swift progress in its second funding phase. A key aspect of the project…
Key Imaging Features for Differentiating Rare Pancreatic Tumors
Solid pseudopapillary neoplasms (SPN), also known as Frantz tumors, are rare tumors of the pancreas. Due to overlapping features of SPN and pancreatic…
2,237 Patients, 11 Hospitals, four HCC Criteria: A Comparison Study
A recent study, conducted across 11 South Korean hospitals, compared the diagnostic performance of four hepatocellular carcinoma (HCC) diagnostic…
Advancing Real-World Federated Learning in Radiology
Federated Learning (FL) enables collaborative model training without data centralization – a crucial aspect for radiological image analysis where…
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